Docker container

Dec 4, 2019Download as PPTX, PDF1 like104 views

This document discusses Docker containers and how they compare to virtual machines. It explains that Docker containers are lightweight software packages that bundle code and dependencies and allow applications to run in isolation on a shared operating system kernel. Containers take up less space than virtual machines and start almost instantly. The document provides examples of Dockerfiles used to build container images and Docker commands to build, run, and execute commands inside containers.

Docker Container
Presented by Naveen Kumar Auvusali 02-06-2018

Virtual Machines Explained
• A virtual computer system is known as a “virtual machine” (VM): a
tightly isolated software container with an operating system and
application inside.
• Each self-contained VM is completely independent. Putting multiple
VMs on a single computer enables several operating systems and
applications to run on just one physical server, or “host.”
• A thin layer of software called a “hypervisor” decouples the virtual
machines from the host and dynamically allocates computing
resources to each virtual machine as needed.

Size
• The following image explains how Virtual Machine and Docker Container utilizes the resources
allocated to them.
Size

What is
Docker?
• Docker is a tool that allows developers, sys-admins
etc. to easily deploy their applications in a sandbox
(called containers) to run on the host operating
system i.e. Linux. The key benefit of Docker is that it
allows users to package an application with all of its
dependencies into a standardized unit for software
development
• Docker containers are lightweight alternatives to
virtual machines and it uses the host OS.
• You don’t have to pre-allocate any RAM in
containers.

Containers
Containers are an abstraction at the app layer
that packages code and dependencies together.
Multiple containers can run on the same machine
and share the OS kernel with other containers,
each running as isolated processes in user space.
Containers take up less space than VMs
(container images are typically tens of MBs in
size), and start almost instantly.

Sample Docker file
• FROM node:9.11.1-alpine // Base image alpine
• WORKDIR /app
• ADD . /app
• CMD["node","server.js"] // Entry point

server.js
• var http = require('http');
• http.createServer(function (req, res) {
• res.writeHead(200, {'Content-Type': 'text/plain'});
• res.end('Hello Pervacians !');
• }).listen(8080);

Commands
• #build image
• docker build -t testbuild .
• #run image
• docker run -it -p 8182:8080 testbuild
• #run command in container
• docker exec -it <container id > command

References
• https://github.com/docker/labs/tree/master/beginner/
• https://examples.javacodegeeks.com/devops/docker/docker-hello-
world-example/
• https://rominirani.com/docker-tutorial-series-writing-a-dockerfile-
ce5746617cd

Virtual machines (VMs) allow users to run multiple operating systems on a single physical machine concurrently. VMs act like independent computers and have their own OS, applications, and storage. Containers provide operating system-level virtualization where the kernel runs directly on the host machine and containers share resources but are isolated. Common VM environments include VirtualBox, VMware, AWS, and OpenStack. Common container environments include LXC and Docker. While VMs are heavier, containers are lighter and more portable. The author currently prefers VMs due to industry use, customization, security, and ease of backups and recovery.

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Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.

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Docker container

1. Docker Container Presented by Naveen Kumar Auvusali 02-06-2018

3. Virtual Machines Explained • A virtual computer system is known as a “virtual machine” (VM): a tightly isolated software container with an operating system and application inside. • Each self-contained VM is completely independent. Putting multiple VMs on a single computer enables several operating systems and applications to run on just one physical server, or “host.” • A thin layer of software called a “hypervisor” decouples the virtual machines from the host and dynamically allocates computing resources to each virtual machine as needed.

4. Docker

6. Size • The following image explains how Virtual Machine and Docker Container utilizes the resources allocated to them. Size

7. Start-Up

8. Integration

9. What is Docker? • Docker is a tool that allows developers, sys-admins etc. to easily deploy their applications in a sandbox (called containers) to run on the host operating system i.e. Linux. The key benefit of Docker is that it allows users to package an application with all of its dependencies into a standardized unit for software development • Docker containers are lightweight alternatives to virtual machines and it uses the host OS. • You don’t have to pre-allocate any RAM in containers.

11. CONTAINERS ?

12. Containers Containers are an abstraction at the app layer that packages code and dependencies together. Multiple containers can run on the same machine and share the OS kernel with other containers, each running as isolated processes in user space. Containers take up less space than VMs (container images are typically tens of MBs in size), and start almost instantly.

13. Containers

16. Sample Docker file • FROM node:9.11.1-alpine // Base image alpine • WORKDIR /app • ADD . /app • CMD["node","server.js"] // Entry point

17. server.js • var http = require('http'); • http.createServer(function (req, res) { • res.writeHead(200, {'Content-Type': 'text/plain'}); • res.end('Hello Pervacians !'); • }).listen(8080);

18. Commands • #build image • docker build -t testbuild . • #run image • docker run -it -p 8182:8080 testbuild • #run command in container • docker exec -it <container id > command

19. References • https://github.com/docker/labs/tree/master/beginner/ • https://examples.javacodegeeks.com/devops/docker/docker-hello- world-example/ • https://rominirani.com/docker-tutorial-series-writing-a-dockerfile- ce5746617cd

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